{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:J4AADN7HVP7NJLJ5C4A5FU25UH","short_pith_number":"pith:J4AADN7H","canonical_record":{"source":{"id":"1710.08810","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2017-10-24T14:44:13Z","cross_cats_sorted":[],"title_canon_sha256":"e997917a5211dc23989a5dc952fa81732bdc7a33311b40bc8fc55653194a9047","abstract_canon_sha256":"ea745bfc23637ea88e6e21f5b5abd19129d29248c7c45cb7ed54b92ed9b4c728"},"schema_version":"1.0"},"canonical_sha256":"4f0001b7e7abfed4ad3d1701d2d35da1f0a7b37cedd6003b3831cd00526f3ade","source":{"kind":"arxiv","id":"1710.08810","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1710.08810","created_at":"2026-05-18T00:16:08Z"},{"alias_kind":"arxiv_version","alias_value":"1710.08810v2","created_at":"2026-05-18T00:16:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1710.08810","created_at":"2026-05-18T00:16:08Z"},{"alias_kind":"pith_short_12","alias_value":"J4AADN7HVP7N","created_at":"2026-05-18T12:31:21Z"},{"alias_kind":"pith_short_16","alias_value":"J4AADN7HVP7NJLJ5","created_at":"2026-05-18T12:31:21Z"},{"alias_kind":"pith_short_8","alias_value":"J4AADN7H","created_at":"2026-05-18T12:31:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:J4AADN7HVP7NJLJ5C4A5FU25UH","target":"record","payload":{"canonical_record":{"source":{"id":"1710.08810","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2017-10-24T14:44:13Z","cross_cats_sorted":[],"title_canon_sha256":"e997917a5211dc23989a5dc952fa81732bdc7a33311b40bc8fc55653194a9047","abstract_canon_sha256":"ea745bfc23637ea88e6e21f5b5abd19129d29248c7c45cb7ed54b92ed9b4c728"},"schema_version":"1.0"},"canonical_sha256":"4f0001b7e7abfed4ad3d1701d2d35da1f0a7b37cedd6003b3831cd00526f3ade","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:16:08.483185Z","signature_b64":"DMyAI0uMdrsGi1S0XVbIHo/asrqwMo/4zyq6joTKTRmWShpMsCGCmRDzopzXeWpFbmj8pwFkt6LJkt2j176zAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4f0001b7e7abfed4ad3d1701d2d35da1f0a7b37cedd6003b3831cd00526f3ade","last_reissued_at":"2026-05-18T00:16:08.482557Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:16:08.482557Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1710.08810","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:16:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Y/uXMQF7csTQhbu2tjIT0gYgHKeLRl680k1YGtUAIXHY/B/DIVSmUjS+qRydrQZYKlFdAonIrdceQ/6ySluMBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T04:22:22.269499Z"},"content_sha256":"c1aa04ed2bf40a54912475cd45ca258c45fa0486c9e5be666b099ef69f7a16cb","schema_version":"1.0","event_id":"sha256:c1aa04ed2bf40a54912475cd45ca258c45fa0486c9e5be666b099ef69f7a16cb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:J4AADN7HVP7NJLJ5C4A5FU25UH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Cygnus A super-resolved via convex optimisation from VLA data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.IM","authors_text":"Abdullah Abdulaziz, Alexandru Onose, Arwa Dabbech, Oleg M. Smirnov, Richard A. Perley, Yves Wiaux","submitted_at":"2017-10-24T14:44:13Z","abstract_excerpt":"We leverage the Sparsity Averaging Reweighted Analysis (SARA) approach for interferometric imaging, that is based on convex optimisation, for the super-resolution of Cyg A from observations at the frequencies 8.422GHz and 6.678GHz with the Karl G. Jansky Very Large Array (VLA). The associated average sparsity and positivity priors enable image reconstruction beyond instrumental resolution. An adaptive Preconditioned Primal-Dual algorithmic structure is developed for imaging in the presence of unknown noise levels and calibration errors. We demonstrate the superior performance of the algorithm "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1710.08810","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:16:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hDAbDlNi+L0Vbo8Qk4W1ViOgkdtcZAZWe8XfsHe995vQBNcKVygaHo+KJpG2Fj3JW0ZKz6GtPOj/Nn95T2xiBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T04:22:22.269853Z"},"content_sha256":"f661084574d0ed807ef409cf4642b3be402b7ba82ffcff8225e21f4eb20556ba","schema_version":"1.0","event_id":"sha256:f661084574d0ed807ef409cf4642b3be402b7ba82ffcff8225e21f4eb20556ba"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/J4AADN7HVP7NJLJ5C4A5FU25UH/bundle.json","state_url":"https://pith.science/pith/J4AADN7HVP7NJLJ5C4A5FU25UH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/J4AADN7HVP7NJLJ5C4A5FU25UH/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-01T04:22:22Z","links":{"resolver":"https://pith.science/pith/J4AADN7HVP7NJLJ5C4A5FU25UH","bundle":"https://pith.science/pith/J4AADN7HVP7NJLJ5C4A5FU25UH/bundle.json","state":"https://pith.science/pith/J4AADN7HVP7NJLJ5C4A5FU25UH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/J4AADN7HVP7NJLJ5C4A5FU25UH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:J4AADN7HVP7NJLJ5C4A5FU25UH","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"ea745bfc23637ea88e6e21f5b5abd19129d29248c7c45cb7ed54b92ed9b4c728","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2017-10-24T14:44:13Z","title_canon_sha256":"e997917a5211dc23989a5dc952fa81732bdc7a33311b40bc8fc55653194a9047"},"schema_version":"1.0","source":{"id":"1710.08810","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1710.08810","created_at":"2026-05-18T00:16:08Z"},{"alias_kind":"arxiv_version","alias_value":"1710.08810v2","created_at":"2026-05-18T00:16:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1710.08810","created_at":"2026-05-18T00:16:08Z"},{"alias_kind":"pith_short_12","alias_value":"J4AADN7HVP7N","created_at":"2026-05-18T12:31:21Z"},{"alias_kind":"pith_short_16","alias_value":"J4AADN7HVP7NJLJ5","created_at":"2026-05-18T12:31:21Z"},{"alias_kind":"pith_short_8","alias_value":"J4AADN7H","created_at":"2026-05-18T12:31:21Z"}],"graph_snapshots":[{"event_id":"sha256:f661084574d0ed807ef409cf4642b3be402b7ba82ffcff8225e21f4eb20556ba","target":"graph","created_at":"2026-05-18T00:16:08Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"We leverage the Sparsity Averaging Reweighted Analysis (SARA) approach for interferometric imaging, that is based on convex optimisation, for the super-resolution of Cyg A from observations at the frequencies 8.422GHz and 6.678GHz with the Karl G. Jansky Very Large Array (VLA). The associated average sparsity and positivity priors enable image reconstruction beyond instrumental resolution. An adaptive Preconditioned Primal-Dual algorithmic structure is developed for imaging in the presence of unknown noise levels and calibration errors. We demonstrate the superior performance of the algorithm ","authors_text":"Abdullah Abdulaziz, Alexandru Onose, Arwa Dabbech, Oleg M. Smirnov, Richard A. Perley, Yves Wiaux","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2017-10-24T14:44:13Z","title":"Cygnus A super-resolved via convex optimisation from VLA data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1710.08810","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:c1aa04ed2bf40a54912475cd45ca258c45fa0486c9e5be666b099ef69f7a16cb","target":"record","created_at":"2026-05-18T00:16:08Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"ea745bfc23637ea88e6e21f5b5abd19129d29248c7c45cb7ed54b92ed9b4c728","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2017-10-24T14:44:13Z","title_canon_sha256":"e997917a5211dc23989a5dc952fa81732bdc7a33311b40bc8fc55653194a9047"},"schema_version":"1.0","source":{"id":"1710.08810","kind":"arxiv","version":2}},"canonical_sha256":"4f0001b7e7abfed4ad3d1701d2d35da1f0a7b37cedd6003b3831cd00526f3ade","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4f0001b7e7abfed4ad3d1701d2d35da1f0a7b37cedd6003b3831cd00526f3ade","first_computed_at":"2026-05-18T00:16:08.482557Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:16:08.482557Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DMyAI0uMdrsGi1S0XVbIHo/asrqwMo/4zyq6joTKTRmWShpMsCGCmRDzopzXeWpFbmj8pwFkt6LJkt2j176zAw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:16:08.483185Z","signed_message":"canonical_sha256_bytes"},"source_id":"1710.08810","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c1aa04ed2bf40a54912475cd45ca258c45fa0486c9e5be666b099ef69f7a16cb","sha256:f661084574d0ed807ef409cf4642b3be402b7ba82ffcff8225e21f4eb20556ba"],"state_sha256":"c4f4b9fd797a7407f2c368e0506ac9e237d25d04851e80bece6bf66c2a5b17a9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ACcF2PbwyrzYiGoVKuteglpxRgkHxw896W+HCpCUEt8SetshH8fex6DVrKWWSBjzzfwCNumpbnw9OGKKbM8BDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T04:22:22.271947Z","bundle_sha256":"cb96c726f18df264302700e3b56de55c2d4b49280dc8fab331026f617deccfa4"}}